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Data Analyst II, Maps

Data Science, Engineering in Bangalore, India

About Uber

 

We’re changing the way people think about transportation. Not that long ago we were just an app to request premium black cars in a few metropolitan areas. Now we’re a part of the logistical fabric of more than 600 cities around the world. Whether it’s a ride, a sandwich, or a package, we use technology to give people what they want, when they want it.

 

For the people who drive with Uber, our app represents a flexible new way to earn money. For cities, we help strengthen local economies, improve access to transportation, and make streets safer.

 

And that’s just what we’re doing today. We’re thinking about the future, too. With teams working on autonomous trucking and self-driving cars, we’re in for the long haul. We’re reimagining how people and things move from one place to the next.

About the team.

 

The Maps team builds the systems and services that provide the geospatial backbone of Uber's functionality. Our group's systems mediate our users' digital connection to their physical world through traffic modeling, travel time estimation, geospatial search, hotspot computation, and map display and navigation.

 

We are looking for a high performing Product Analyst to make significant contributions to our mission. All Maps Product Analysts work closely with Product, Data Science, Engineering on fast moving, high-stake problems. A deep analytical passion to learn and ability to execute on key business priorities is a must.

 

Influencing decisions with data is the core mission of the Maps Product Analyst. An analyst is responsible for collaborating with various teams to optimize our marketplaces.



What You'll Do

  • Incorporate User Experience: Deeply understand what matters most to customers and use these insights to optimize the user experience
  • Champion for Data: Improve data access and integrity through building and maintaining effective dashboards and collaborating with Engineering to improve data accuracy and reliability
  • Manage Stakeholders: Create effective working relationships with stakeholders by managing objectives and expectations and ensure we make data-driven decisions regarding product
  • Explore Data: Proactively explore quantitative and qualitative data to identify product opportunities and discover product insights
  • Define Metrics: Develop key success metrics critical for evaluating product success from a business and user perspective
  • Experiment: Conduct experiments (e.g., A/B and switchbacks) to evaluate the impact of new product features
  • Solve Problems: Tackle problems in creative and logical ways and consistently brainstorm alternative solutions
  • Distill Complicated Information: Translate complicated models and algorithms for non-data-savvy stakeholders and tell compelling, concise stories with data
  • Drive Insights Through Data: Provide insights and actionable recommendations for business stakeholders based on deep analysis and alignment with business goals
  • Connect Science with Business: Prioritize problems using business intuition and approach solutions with deep scientific rigor
  • Collaborate Cross-functionally: Partner and collaborate with teams across the organization to remove roadblocks and unlock new opportunities

 

What You'll Need

  • Bachelor's Degree, preferably in a quantitative discipline such as Economics, Statistics, Computer Science, or Engineering
  • 2-4 years relevant experience in product or data analytics
  • Experience defining user-experience and business metrics
  • Proficiency with SQL or a scripting language such as R or Python
  • Experience using experimentation to analyze the impact of new features (e.g., A/Bs, multi-variate testing, switchbacks, casual impact, etc)
  • Experience working with large / diverse data sets
  • Experience telling stories with data to both technical and non-technical audiences and creating clear and compelling visualizations to convey complex data
  • Experience managing stakeholders including strong communication and presentation skills

 

Nice to Have

  • Experience in product strategy and development
  • Experience working with a two-sided Marketplace
  • Strong coding skills (e.g., R, Python)
  • Strong statistics, economics, engineering, or mathematics background
  • Experience with data pipeline management

See our Candidate Privacy Statement

At Uber we don’t just accept difference—we celebrate it, we support it, and we thrive on it for the benefit of our employees, our products and our community. Uber is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.